| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Villanova | 86% | 83¢ | 87¢ | — | $1K | Trade → |
| Xavier | 18% | 14¢ | 17¢ | — | $415 | Trade → |
This market lets traders take positions on which team wins the college basketball game between Xavier and Villanova. It matters because market prices aggregate public information and react quickly to game-day news that can affect the outcome.
Xavier vs. Villanova is a conference-level college basketball matchup with a history of competitive games; both programs routinely prioritize conference standing and postseason positioning. Matchups between these schools often hinge on coaching adjustments, matchup advantages, and in-game execution rather than one-off anomalies.
Market prices represent the crowd’s consensus expectation and update as new information (injuries, starting lineups, clocked tip-off time) becomes available. Treat prices as real-time indicators that can change rapidly, not as guarantees.
This market features two outcomes corresponding to which team wins the game: Xavier wins or Villanova wins. Settlement follows the official final result as recorded by the sanctioning body.
The market close is listed as TBD; typically Kalshi-style markets for individual games close before tip-off or at the scheduled start time. Check the specific market page for the exact closing timestamp and any notices about early closure.
Settlement depends on Kalshi’s event rules and the official status provided by the teams/conference. In many cases a postponed game will either be rescheduled with the market re-opened or resolved according to platform policy; consult the market’s terms and any posted resolution rules for this event.
Watch pregame reports on starting lineups and injuries, late scratches, coach press conferences about rotations, travel disruptions, and any announced disciplinary actions—those items tend to produce the largest intraday price moves.
A total volume of $1,046 indicates modest liquidity. In thinner markets, relatively small trades can move prices, and it can be harder to enter or exit large positions without causing price impact. Factor liquidity into trade sizing and risk management.